Explainable & Agentic AI: A Modern Handson -Approach

Explainable & Agentic AI: A Modern Hands-on Approach bridges the gap between cutting-edge artificial intelligence research and practical implementation for real-world impact. As AI systems become more autonomous and deeply embedded in decision-making processes, the need for transparency, interpretability, and human-aligned agency has never been more critical. This book offers a comprehensive, project-oriented guide to building AI systems that are not only powerful, but also understandable, trustworthy, and reliable.

Through clear explanations, real-world case studies, and hands-on exercises, you’ll explore:

🔹 Foundations of Explainable AI (XAI)
Learn the key principles of interpretability, from model-agnostic methods to intrinsically transparent architectures. Understand why explanation matters—not just performance.

🔹 Agentic Intelligence in Practice
Dive into autonomous AI agents that perceive, reason, act, and adapt in dynamic environments. Learn how to balance agent autonomy with human values and safety constraints.

🔹 Hands-on Projects & Code Walkthroughs
Apply concepts with real Python notebooks, toolkits like SHAP, LIME, and newer explanation frameworks, and agent platforms such as LangChain, OpenAI APIs, and reinforcement learning environments.

🔹 Human-Centered Design & Evaluation
Equip yourself with frameworks to assess explainability from a user’s perspective—stakeholder needs, cognitive load, and ethical considerations.

🔹 Safety, Governance & Responsible AI
Practical insights on deploying agentic AI in regulated domains (healthcare, finance, legal) with transparent auditing, monitoring, and continuous alignment strategies.

Whether you are a practitioner, researcher, or AI-savvy leader, this book empowers you to:

✔ Build interpretable models that decision-makers trust
✔ Design autonomous agents that act reliably and safely
✔ Integrate explainability into your full AI lifecycle
✔ Translate complex AI behaviors into human-comprehensible insights

By blending solid theory with actionable examples, Explainable & Agentic AI prepares you to create AI systems that are not only intelligent, but also accountable, understandable, and aligned with human goals.